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1.
【目的/意义】研究分析了突发公共卫生事件演化过程中社交媒体虚假信息的产生及时滞性扩散特征,试图
揭示虚假信息以及负面情感之间的相关关系,为疏通正确的防疫信息与民众之间的沟通渠道提供帮助。【方法/过
程】研究爬取了新冠疫情期间的虚假信息及疫情相关的微博数据,利用自动文本分析方法分析虚假信息的主题分
布;然后结合时间线索和格兰杰因果分析,展示了虚假信息相关主题微博的时滞性扩散特点;最后,分析了不同主
题下虚假信息、相关微博和负面情感三者的关系。【结果/结论】虚假信息与疫情相关内容增长趋同,但不同主题信
息的扩散力不同,甚至出现相反的时滞扩散效果;引导公众产生负向情感的虚假信息在一定程度上会引发公众的
大规模讨论。【创新/局限】从时滞性扩散的角度解读突发公共卫生事件下不同主题虚假信息的演化特征,为虚假信
息分析与治理提供了新的视角。但数据采集存在局限,虚假信息的传播渠道太过广泛,相关信息难以收集完整。 相似文献
2.
Health misinformation has become an unfortunate truism of social media platforms, where lies could spread faster than truth. Despite considerable work devoted to suppressing fake news, health misinformation, including low-quality health news, persists and even increases in recent years. One promising approach to fighting bad information is studying the temporal and sentiment effects of health news stories and how they are discussed and disseminated on social media platforms like Twitter. As part of the effort of searching for innovative ways to fight health misinformation, this study analyzes a dataset of more than 1600 objectively and independently reviewed health news stories published over a 10-year span and nearly 50,000 Twitter posts responding to them. Specifically, it examines the source credibility of health news circulated on Twitter and the temporal, sentiment features of the tweets containing or responding to the health news reports. The results show that health news stories that are rated low by experts are discussed more, persist longer, and produce stronger sentiments than highly rated ones in the tweetosphere. However, the highly rated stories retained a fresh interest in the form of new tweets for a longer period. An in-depth understanding of the characteristics of health news distribution and discussion is the first step toward mitigating the surge of health misinformation. The findings provide insights into understanding the mechanism of health information dissemination on social media and practical implications to fight and mitigate health misinformation on digital media platforms. 相似文献
3.
《Information processing & management》2022,59(3):102935
The rapid dissemination of misinformation in social media during the COVID-19 pandemic triggers panic and threatens the pandemic preparedness and control. Correction is a crucial countermeasure to debunk misperceptions. However, the effective mechanism of correction on social media is not fully verified. Previous works focus on psychological theories and experimental studies, while the applicability of conclusions to the actual social media is unclear. This study explores determinants governing the effectiveness of misinformation corrections on social media with a combination of a data-driven approach and related theories on psychology and communication. Specifically, referring to the Backfire Effect, Source Credibility, and Audience’s role in dissemination theories, we propose five hypotheses containing seven potential factors (regarding correction content and publishers’ influence), e.g., the proportion of original misinformation and warnings of misinformation. Then, we obtain 1487 significant COVID-19 related corrections on Microblog between January 1st, 2020 and April 30th, 2020, and conduct annotations, which characterize each piece of correction based on the aforementioned factors. We demonstrate several promising conclusions through a comprehensive analysis of the dataset. For example, mentioning excessive original misinformation in corrections would not undermine people’s believability within a short period after reading; warnings of misinformation in a demanding tone make correction worse; determinants of correction effectiveness vary among different topics of misinformation. Finally, we build a regression model to predict correction effectiveness. These results provide practical suggestions on misinformation correction on social media, and a tool to guide practitioners to revise corrections before publishing, leading to ideal efficacies. 相似文献
4.
《Information processing & management》2022,59(1):102769
This study aims at helping people recognize health misinformation on social media in China. A scheme was first developed to identify the features of health misinformation on social media based on content analysis of 482 pieces of health information from WeChat, a social media platform widely used in China. This scheme was able to identify salient features of health misinformation, including exaggeration/absolutes, induced text, claims of being unique and secret, intemperate tone or language, and statements of excessive significance and likewise. The scheme was then evaluated in a user-centred experiment to test if it is useful in identifying features of health misinformation. Forty-four participants for the experimental group and 38 participants for the control group participated and finished the experiment, which compared the effectiveness of these participants in using the scheme to identify health misinformation. The results indicate that the scheme is effective in terms of improving users’ capability in health misinformation identification. The results also indicate that the participants’ capability of recognizing misinformation in the experimental group has been significantly improved compared to those of the control group. The study provides insights into health misinformation and has implications in enhancing people's online health information literacy. It informs the development of a system that can automatically limit the spread of health misinformation. Moreover, it potentially improves users’ online health information literacy, in particular, under the circumstances of the COVID-19 pandemic. 相似文献
5.
《Information processing & management》2022,59(2):102846
With the advent of the era of “we media,” many people's opinions have become easily accessible. Public health emergencies have always been an important aspect of public opinion exchange and emotional communication. In view of this sudden group panic, public opinion cannot be effectively monitored, controlled or guided. This makes it easy to amplify the beliefs and irrationality of social emotions, that threaten social security and stability. Considering the important role of opinion leaders in micro-blogs and users’ interest in micro-blog information, a SIR model of public opinion propagation is constructed based on the novel coronavirus pneumonia model and micro-blog's public health emergencies information. The parameters of the model are calculated by combining the actual crawl data from the novel coronavirus pneumonia epidemic period, and the trends in the evolution of public opinion are simulated by MATLAB. The simulation results are consistent with the actual development of public opinion dissemination, which shows the effectiveness of the model. These research findings can help the government understand the principles that guide the propagation of public opinion and advise an appropriate time to control and correctly guide public opinion. 相似文献
6.
《Information processing & management》2023,60(2):103228
The phenomenal spread of fake news online necessitates further research into fake news perception. We stress human factors in misinformation management. This study extends prior research on fake news and media consumption to examine how people perceive fake news. The objective is to understand how news categories and sources influence individuals' perceptions of fake news. Participants (N = 1008) were randomly allocated to six groups in which they evaluated the believability of news from three categories (misinformation, conspiracy, and correction news) coupled with six online news sources whose background (official media, commercial media, and social media) and expertise level varied (the presence or absence of a professional editorial team). Our findings indicated people could distinguish media sources, which have a significant effect on fake news perception. People believed most in conspiracy news and then misinformation included in correction news, demonstrating the backfire of correction news. The significant interaction effects indicate people are more sensitive to misinformation news and show more skepticism toward misinformation on social media. The findings support news literacy that users are capable to leverage credible sources in navigating online news. Meanwhile, challenges of processing correction news require design measures to promote truth-telling news. 相似文献
7.
[目的/意义] 新型冠状肺炎防治的科研信息报道是公众关注的重要话题,极易引发网络信息泛滥和社会公众恐慌。如何引导突发公共卫生事件科研信息报道网络舆情走向成为重要课题。[方法/过程] 本文选取"双黄连事件"作为研究案例,在新浪微博上分别爬取原始话题和回应话题下的发帖、转发和评论等数据,通过统计分析法、情感分析法等方法讨论科研信息报道的社会热度和公众态度,分析官方媒体和权威专家的回应对事件舆情发展的影响。[结果/结论] 研究结果发现,公众高度关注科研信息报道,并表现出较为极端的情绪;而官方媒体和专家的权威回应会影响到事件的话题热度,进而影响公众情感取向。官方媒体具有强大的传播力和影响力,成为公众获取科研信息的主要途径。在此基础上,构建了"官方媒体-权威专家-普通公众"三方协同的管控机制,以有效应对突发公共卫生事件科研信息报道所引发的网络舆情。 相似文献
8.
[目的/意义]为了帮助信息系统学者厘清媒介丰富度理论的发展脉络及其应用现状,填补国内在媒介丰富度理论相关文献综述上的缺失。[方法/过程]本文对国内外基于媒介丰富度理论的实证研究文献进行检索和梳理,归纳了当前MIS领域应用媒介丰富度理论的主要研究问题,并总结了研究取得的成果、存在的问题以及未来值得关注的研究方向。[结果/结论]研究发现：MIS领域应用媒介丰富度理论研究的文献主要集中在媒介丰富度对于表现绩效的影响、媒介丰富度对于用户信任感及诚信行为的影响、媒介丰富度理论在系统设计中的应用和媒介丰富度理论在信息/沟通技术使用研究中的应用4个方面;研究中存在"媒介丰富度理论对于社会因素、个人/技术因素的考量未完善"、"相关实证研究多使用媒介丰富度理论作为分类依据,往往忽略理论的核心观点"等问题;媒介丰富度对表现绩效影响的时序分析、多媒介嵌套的混合效应等是未来值得关注的研究问题。 相似文献
9.
As social distancing and lockdown orders grew more pervasive, individuals increasingly turned to social media for support, entertainment, and connection to others. We posit that global health emergencies - specifically, the COVID-19 pandemic - change how and what individuals self-disclose on social media. We argue that IS research needs to consider how privacy (self-focused) and social (other-focused) calculus have moved some issues outside in (caused by a shift in what is considered socially appropriate) and others inside out (caused by a shift in what information should be shared for the public good). We identify a series of directions for future research that hold potential for furthering our understanding of online self-disclosure and its factors during health emergencies. 相似文献
10.
为总结图书情报领域求助行为的研究现状,分析讨论当前研究存在的问题。我们首先明确图书情报领域求助行为的研究范畴,并依据不同的求助对象,对图书情报领域的求助行为研究进行综述。发现当前图书情报领域主要研究了高校图书馆用户的参考咨询行为和数字图书馆帮助系统的求助行为,对社会化媒体中的求助行为和其它用户群体的求助行为研究不足。最后,提出我国图书情报领域求助行为的研究问题与方向。 相似文献
11.
[目的/意义]新型冠状病毒肺炎疫情(简称新冠肺炎疫情)的全球蔓延引发了各领域学者对于突发公共卫生事件科学应对的思考。文章以新冠肺炎疫情为例,以微博为研究对象,旨在探讨突发公共卫生事件中公众的信息需求对于危机治理的影响机制。[方法/过程]首先,对新冠肺炎疫情及微博舆情做出阶段划分,进而利用质性分析结合层次聚类法从微博文本数据中抽取公众信息需求并跟踪其演变,最终结合相关理论探索性地建立了突发公共卫生事件公众信息需求模型。[结果/结论]突发公共卫生事件中公众的信息需求主要围绕风险认知、行为规范、情感、行为四个方面,通过社交媒体可以准确追踪公众信息需求并向公众提供所需信息,信息需求的满足最终促使公众自发参与危机治理。 相似文献
12.
[目的/意义]探究影响在线健康社区用户诊疗信息求助行为的外部因素、个体动机与形成路径,为在线健康社区生态圈的平衡和可持续发展提供参考建议。[方法/过程]以信息生态理论为分析视角,从信息、信息人、信息技术和信息环境4个维度提炼出影响因素和个体动机,并选择技术接受模型为研究框架提出研究假设,进而构建形成路径的理论模型。选取"好大夫在线"、"寻医问药网"、"39健康网"等在线健康社区为实证研究数据来源,采用"情境实验+调查问卷"的研究方法获取437份有效样本数据,利用SmartPLS2.0检验理论模型。[结果/结论]求助自我效能负向影响感知有用性,健康信息素养、求助经验、感知易用性、信息准确性、相关性、及时性正向影响感知有用性,求助自我效能和健康信息素养正向影响感知易用性。按照显著程度,直接影响求助意愿因素依次为求助经验、社会容认度、感知隐私风险、感知易用性、感知有用性、平台信任。 相似文献
13.
[目的/意义] 利用新冠疫情网络舆情数据来研究突发公共卫生事件中中国网民关注度,有助于提升疫情期间政府信息供给效率、满足公众需求和提供社会支持等。[研究设计/方法] 通过新浪舆情大数据平台获取研究数据,包括：疫情流行高峰期间全网舆情数据、每日转发排名前100名热门微博、每日新增病例数据等。采用描述性统计、列联表分析、回归分析等方法,研究突发公共卫生事件中网民关注度变化趋势及影响因素。[结论/发现] 疫情爆发初期,媒体大规模报道造成大量网民对事件关注;随着疫情严重,新增病例与网民关注出现同频共振;媒体报道初期,网民关注度集中趋势高;防疫举措、鼓励加油、捐献赠送、倡议建议、赞誉肯定5大关注主题,贯穿疫情流行高峰;主流媒体发布微博受关注最多,不同账户类型情感倾向有显著差异;网民总体关注度受新增病例和变异系数影响;每日热门舆情关注度,受新增病例、变异系数、舆情总量和戏剧性分值影响;单条微博受关注程度与当日相关话题总量和微博粉丝数有一定关系。[创新/价值] 本文系统分析了突发公共卫生事件中网民关注度变化趋势和影响因素,为政府决策提供支持。 相似文献
14.
合作创新中媒介丰度对知识模糊性和知识转移绩效关系的调节作用研究 总被引：2，自引：1，他引：1
基于媒介丰度理论和知识基础理论,提出媒介丰度在知识内隐性、专属性和复杂性对知识转移的影响中起调节作用,根据反馈能力、多重暗示性、语言多变性和个体关注性等媒介丰度判断标准分析了媒介丰度的调节机理,提出概念模型和假设,并用案例对本文的理论进行初步支持.企业可以依据知识模糊性和媒介丰度属性合理选择知识转移媒介,提高知识转移绩效. 相似文献
15.
《Information processing & management》2023,60(4):103362
The rapid development of mobile technologies enables more patients to adopt mobile consultations for health services. Mobile health consultations allow voice consultation, a unique feature differentiating it from general online health consultations. However, how patients derive satisfaction in this context has yet to be well explained. This study draws on the social support theory to examine the relative effects of informational support and emotional support on patient satisfaction and the moderating role of consultation channels (voice vs. textual). Two hundred nineteen valid responses from mobile experiments were collected to test the research model and hypotheses. The results revealed that informational support had a more substantial effect on medical quality satisfaction than emotional support, while the impact of the former on service attitude satisfaction was weaker than that of the latter. Meanwhile, using a voice channel strengthened the positive relationship between informational support and medical quality satisfaction and the positive relationship between emotional support and service attitude satisfaction. This study reasonably explains previously conflicting conclusions and adds brand-new knowledge to patient satisfaction in the mobile-based context. Managers are advised to provide targeted social support and voice channel accessibility to improve mobile consultation. 相似文献
16.
健康信息与人的生命质量息息相关,研究其在社交网站上的采纳特点和影响因素十分必要。然而关于使用社交网络获取健康知识这一行为的研究仅处于起步阶段,尚缺乏对网络用户基于社交网站采纳健康信息行为的深入认识和探讨。结合社会认知理论和现有的健康信息系统研究,选取若干具有代表性的因子建立结构方程模型,以了解国内网络用户基于社交网站采纳健康信息的行为特点和影响因素。通过探索性因子分析和验证性因子分析,实证结果证实了用户健康自我效能、健康关注、感知风险和感知信息支持显著影响了用户对SNS健康信息的采纳意向;同时感知信息支持、感知情感支持、健康关注及感知风险显著影响了用户的健康自我效能;感知风险受到用户信任倾向的显著影响。为今后针对社交网络获取健康知识的研究提供了理论模型上的借鉴,为采取针对性的干预措施提供科学合理的参考。 相似文献
17.
【目的/意义】随着移动互联网的发展,微博的普及进一步加速了社会突发事件的传播。转发作为最重要的用户信息行为,在很大程度上预示了网络舆情的发展趋势。但是,鲜有研究关注微博内容中的心理语言使用与转发行为的关系。本研究拓展了心理语言学在社会突发事件情境下的应用领域,为政府或企业应急管理部门有效引导网络舆情提供了实践启示。【方法/过程】本文以九寨沟地震事件为例,基于LIWC文本分析工具研究了微博用户心理过程对于转发行为的影响,通过构建VAR向量自回归模型并进行格兰杰因果检验,确定了微博转发行为的心理语言影响因素,并进一步运用脉冲响应函数对转发行为进行了动态分析。【结果/结论】根据实证研究的结果,社会过程词和情感历程词对微博用户的转发行为具有一定的预测作用。 相似文献
18.
《Information processing & management》2023,60(2):103197
When public health emergencies occur, a large amount of low-credibility information is widely disseminated by social bots, and public sentiment is easily manipulated by social bots, which may pose a potential threat to the public opinion ecology of social media. Therefore, exploring how social bots affect the mechanism of information diffusion in social networks is a key strategy for network governance. This study combines machine learning methods and causal regression methods to explore how social bots influence information diffusion in social networks with theoretical support. Specifically, combining stakeholder perspective and emotional contagion theory, we proposed several questions and hypotheses to investigate the influence of social bots. Then, the study obtained 144,314 pieces of public opinion data related to COVID-19 in J city from March 1, 2022, to April 18, 2022, on Weibo, and selected 185,782 pieces of data related to the outbreak of COVID-19 in X city from December 9, 2021, to January 10, 2022, as supplement and verification. A comparative analysis of different data sets revealed the following findings. Firstly, through the STM topic model, it is found that some topics posted by social bots are significantly different from those posted by humans, and social bots play an important role in certain topics. Secondly, based on regression analysis, the study found that social bots tend to transmit information with negative sentiments more than positive sentiments. Thirdly, the study verifies the specific distribution of social bots in sentimental transmission through network analysis and finds that social bots are weaker than human users in the ability to spread negative sentiments. Finally, the Granger causality test is used to confirm that the sentiments of humans and bots can predict each other in time series. The results provide practical suggestions for emergency management under sudden public opinion and provide a useful reference for the identification and analysis of social bots, which is conducive to the maintenance of network security and the stability of social order. 相似文献
19.
新冠肺炎疫情属于应激性危机事件,造成了全社会的停工停产、国民恐慌,人们社交受限,情绪消极。对居家学习生活的大学生的心理健康也产生了严重的负面影响。该文基于团体心理辅导技术,借助新媒体平台,设计了生命教育、情绪调适和社会支持三个教学主题,探索疫情背景下加强大学生心理健康教育的路径。学生反馈参与度高、体验丰富,对生命的理解更加深刻,通过团体作用和朋辈效应,学生学会了调用自身的社会支持系统,自身不良情绪得到有效改善和疏解,收获颇多。 相似文献
20.
知识特征与知识传递媒体的选择 总被引：3，自引：0，他引：3
知识传递是知识创造和应用的一个重要基础,本文从知识特征入手,分析根据知识特征如何选择合适的知识传递媒体。首先,本文定义了知识歧义性,论证了知识歧义性与性息歧义性的本质一致,并指出减少歧义性的根本途径都是组织学习;然后论证知识歧义性是选择知识传递媒体的重要影响因素,并进一步指出知识的隐性特征是选择知识传递媒体的重要影响因素;然后引入信息富裕和媒体富裕的概念,得到知识特征与媒体富裕匹配规律,即知识的隐性特征越强,所需的媒体富裕度越高,最后用已有的实证研究证明了该规律的正确性。 相似文献